Ajou CVPR Lab

RESEARCH AIMS

Welcome to the Ajou Computer Vision and Pattern Recognition (CVPR) Lab!
We are a team of enthusiastic researchers dedicated to studying cutting-edge algorithms of computer vision in Ajou University, Republic of Korea. We now focus on deep learning-based methods for computer vision, including classification, detection, and segmentation.
Join us as we explore the latest developments in this exciting field! 

 NEWS

News Highlight

IPIU2024  우수논문상 (금상) 외 2건
(Feb.2, 2024)

BK21 교육부 장관상
졸업생 나재민박사
(Dec. 31, 2023)

 

Research Highlight

DOMAIN ADAPTATION

Domain Adaption aims to adapt models from a labeled source domain to a different but target domain without labels.

SEMANTIC SEGMENTATION

Semantic Segmentation is the task of clustering parts of an image together which belong to the same object class.

KNOWLEDGE DISTILLATION

Knowledge Distillation extracts pivtoal knowledge from a teacher network to guide the learning of a student network.

CONTINUAL LEARNING

Continual Learning is a model learning a large number of tasks sequentially without forgetting knowledge obtained from the preceding tasks.

SELF-SUPERVISED LEARNING

Self-supervised Learning for leveraging training data without supervision signals for Classification and Detection.

 

Demo & Presentation Highlight

 

Dept. of Software and Computer Engineering and Dept. of Artificial Intelligence, College of Information Technology,Ajou University
913 Paldal hall, San 5-1, Woncheon-dong, Yeongtong-gu, Suwon-si, Gyeonggi-do, 16499, Republic of Korea